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<h1>src/qvcuda/qvcudaip.cpp</h1><a href="qvcudaip_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001 <span class="comment">/*</span>
<a name="l00002"></a>00002 <span class="comment"> *      Copyright (C) 2007, 2008, 2009, 2010, 2011, 2012. PARP Research Group.</span>
<a name="l00003"></a>00003 <span class="comment"> *      &lt;http://perception.inf.um.es&gt;</span>
<a name="l00004"></a>00004 <span class="comment"> *      University of Murcia, Spain.</span>
<a name="l00005"></a>00005 <span class="comment"> *</span>
<a name="l00006"></a>00006 <span class="comment"> *      This file is part of the QVision library.</span>
<a name="l00007"></a>00007 <span class="comment"> *</span>
<a name="l00008"></a>00008 <span class="comment"> *      QVision is free software: you can redistribute it and/or modify</span>
<a name="l00009"></a>00009 <span class="comment"> *      it under the terms of the GNU Lesser General Public License as</span>
<a name="l00010"></a>00010 <span class="comment"> *      published by the Free Software Foundation, version 3 of the License.</span>
<a name="l00011"></a>00011 <span class="comment"> *</span>
<a name="l00012"></a>00012 <span class="comment"> *      QVision is distributed in the hope that it will be useful,</span>
<a name="l00013"></a>00013 <span class="comment"> *      but WITHOUT ANY WARRANTY; without even the implied warranty of</span>
<a name="l00014"></a>00014 <span class="comment"> *      MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</span>
<a name="l00015"></a>00015 <span class="comment"> *      GNU Lesser General Public License for more details.</span>
<a name="l00016"></a>00016 <span class="comment"> *</span>
<a name="l00017"></a>00017 <span class="comment"> *      You should have received a copy of the GNU Lesser General Public</span>
<a name="l00018"></a>00018 <span class="comment"> *      License along with QVision. If not, see &lt;http://www.gnu.org/licenses/&gt;.</span>
<a name="l00019"></a>00019 <span class="comment"> */</span>
<a name="l00020"></a>00020 
<a name="l00024"></a>00024 
<a name="l00025"></a>00025 <span class="preprocessor">#include &lt;iostream&gt;</span>
<a name="l00026"></a>00026 
<a name="l00027"></a>00027 <span class="preprocessor">#include &quot;<a class="code" href="qvcudaip_8h.html" title="File from the QVision library.">qvcudaip.h</a>&quot;</span>
<a name="l00028"></a>00028 
<a name="l00029"></a>00029 <span class="preprocessor">#include &quot;<a class="code" href="qvcudaipD_8h.html" title="File from the QVision library.">qvcudaipD.h</a>&quot;</span>
<a name="l00030"></a>00030 
<a name="l00031"></a><a class="code" href="qvcudaip_8h.html#aaa6c34d6f29b16df26f33fac10d598dd">00031</a> <span class="keywordtype">bool</span> <a class="code" href="qvcudaip_8cpp.html#aaa6c34d6f29b16df26f33fac10d598dd" title="Subtracts two QVCUDAImage&amp;lt;float,1&amp;gt; in the CUDA device, and puts the result...">QVCUDASubtract</a>(<span class="keyword">const</span> <a class="code" href="classQVCUDAImage.html" title="Class to manage images stored in the GPU for the QVision framework.">QVCUDAImage&lt;float,1&gt;</a> &amp;src1, <span class="keyword">const</span> <a class="code" href="classQVCUDAImage.html" title="Class to manage images stored in the GPU for the QVision framework.">QVCUDAImage&lt;float,1&gt;</a> &amp;src2, <a class="code" href="classQVCUDAImage.html" title="Class to manage images stored in the GPU for the QVision framework.">QVCUDAImage&lt;float,1&gt;</a> &amp;dest)
<a name="l00032"></a>00032         {
<a name="l00033"></a>00033         <span class="keywordflow">if</span> ( (src1.<a class="code" href="classQVCUDAImage.html#a85022bc8b3e21adee52f8f6f73eb9afb" title="Returns the number of cols of the image.">getCols</a>() != src2.<a class="code" href="classQVCUDAImage.html#a85022bc8b3e21adee52f8f6f73eb9afb" title="Returns the number of cols of the image.">getCols</a>()) or (src1.<a class="code" href="classQVCUDAImage.html#a6ffd1bbe764e1a77d06b68cee251071a" title="Returns the number of rows of the image.">getRows</a>() != src2.<a class="code" href="classQVCUDAImage.html#a6ffd1bbe764e1a77d06b68cee251071a" title="Returns the number of rows of the image.">getRows</a>()) or (src1.<a class="code" href="classQVCUDAImage.html#a4bc1fb37fa6c8afa95bb344c0a4ee283" title="Returns the step of the image.">getStep</a>() != src2.<a class="code" href="classQVCUDAImage.html#a4bc1fb37fa6c8afa95bb344c0a4ee283" title="Returns the step of the image.">getStep</a>()) ) {
<a name="l00034"></a>00034                 std::cerr &lt;&lt; <span class="stringliteral">&quot;QVCUDAIP module: QVCUDASubtract function: src1 and src2 image sizes do not coincide.\n&quot;</span>;
<a name="l00035"></a>00035                 <span class="keywordflow">return</span> FALSE;
<a name="l00036"></a>00036         }
<a name="l00037"></a>00037 
<a name="l00038"></a>00038         <span class="keywordtype">int</span> w = src1.<a class="code" href="classQVCUDAImage.html#a85022bc8b3e21adee52f8f6f73eb9afb" title="Returns the number of cols of the image.">getCols</a>();
<a name="l00039"></a>00039         <span class="keywordtype">int</span> h = src1.<a class="code" href="classQVCUDAImage.html#a6ffd1bbe764e1a77d06b68cee251071a" title="Returns the number of rows of the image.">getRows</a>();
<a name="l00040"></a>00040         <span class="keywordtype">int</span> step = src1.<a class="code" href="classQVCUDAImage.html#a4bc1fb37fa6c8afa95bb344c0a4ee283" title="Returns the step of the image.">getStep</a>(); <span class="comment">// We know here that src2&#39;s step is the same (as forced by QVCUDAImage resize method).</span>
<a name="l00041"></a>00041 
<a name="l00042"></a>00042         dest.<a class="code" href="classQVCUDAImage.html#a0b2e7c0fa2ffd39717d81d3b09f3264c" title="Resizes a QVCUDAImage.">resize</a>(w,h);
<a name="l00043"></a>00043 
<a name="l00044"></a>00044         Subtract_kernel(src1.<a class="code" href="classQVCUDAImage.html#a34085acda5201bd164d4581ee882855d" title="Returns the pointer to the start of the device data for the image.">getData</a>(),src2.<a class="code" href="classQVCUDAImage.html#a34085acda5201bd164d4581ee882855d" title="Returns the pointer to the start of the device data for the image.">getData</a>(),dest.<a class="code" href="classQVCUDAImage.html#a34085acda5201bd164d4581ee882855d" title="Returns the pointer to the start of the device data for the image.">getData</a>(),w,h,step);
<a name="l00045"></a>00045 
<a name="l00046"></a>00046         CUT_CHECK_ERROR(<span class="stringliteral">&quot;QVCUDAIP module: QVCUDASubtract function: execution failed\n&quot;</span>);
<a name="l00047"></a>00047         CUDA_SAFE_CALL(cudaThreadSynchronize());
<a name="l00048"></a>00048 
<a name="l00049"></a>00049         <span class="keywordflow">return</span> TRUE;
<a name="l00050"></a>00050 
<a name="l00051"></a>00051         }
<a name="l00052"></a>00052 
<a name="l00053"></a><a class="code" href="qvcudaip_8h.html#a0068ac6f27bcd30f7569bf4a300f5bfa">00053</a> <span class="keywordtype">bool</span> <a class="code" href="qvcudaip_8cpp.html#a0068ac6f27bcd30f7569bf4a300f5bfa" title="FIXME pending...">QVCUDAScaleDown</a>(<span class="keyword">const</span> <a class="code" href="classQVCUDAImage.html" title="Class to manage images stored in the GPU for the QVision framework.">QVCUDAImage&lt;float,1&gt;</a> &amp;src, <a class="code" href="classQVCUDAImage.html" title="Class to manage images stored in the GPU for the QVision framework.">QVCUDAImage&lt;float,1&gt;</a> &amp;dest, <span class="keywordtype">float</span> sigma)
<a name="l00054"></a>00054 {
<a name="l00055"></a>00055         <span class="keywordflow">if</span> ( (src.<a class="code" href="classQVCUDAImage.html#a85022bc8b3e21adee52f8f6f73eb9afb" title="Returns the number of cols of the image.">getCols</a>() &lt; 2) or (src.<a class="code" href="classQVCUDAImage.html#a6ffd1bbe764e1a77d06b68cee251071a" title="Returns the number of rows of the image.">getRows</a>() &lt; 2) or (src.<a class="code" href="classQVCUDAImage.html#a85022bc8b3e21adee52f8f6f73eb9afb" title="Returns the number of cols of the image.">getCols</a>()%2 != 0) or (src.<a class="code" href="classQVCUDAImage.html#a6ffd1bbe764e1a77d06b68cee251071a" title="Returns the number of rows of the image.">getRows</a>()%2 != 0)) {
<a name="l00056"></a>00056                 std::cerr &lt;&lt; <span class="stringliteral">&quot;QVCUDAIP module: QVCUDAScaleDown function: src image is not even sized.\n&quot;</span>;
<a name="l00057"></a>00057                 <span class="keywordflow">return</span> FALSE;
<a name="l00058"></a>00058         }
<a name="l00059"></a>00059 
<a name="l00060"></a>00060         <span class="keywordtype">int</span> w = src.<a class="code" href="classQVCUDAImage.html#a85022bc8b3e21adee52f8f6f73eb9afb" title="Returns the number of cols of the image.">getCols</a>();
<a name="l00061"></a>00061         <span class="keywordtype">int</span> h = src.<a class="code" href="classQVCUDAImage.html#a6ffd1bbe764e1a77d06b68cee251071a" title="Returns the number of rows of the image.">getRows</a>();
<a name="l00062"></a>00062         <span class="keywordtype">int</span> step_s = src.<a class="code" href="classQVCUDAImage.html#a4bc1fb37fa6c8afa95bb344c0a4ee283" title="Returns the step of the image.">getStep</a>();
<a name="l00063"></a>00063 
<a name="l00064"></a>00064         dest.<a class="code" href="classQVCUDAImage.html#a0b2e7c0fa2ffd39717d81d3b09f3264c" title="Resizes a QVCUDAImage.">resize</a>(w/2,h/2);
<a name="l00065"></a>00065         <span class="keywordtype">int</span> step_d = dest.<a class="code" href="classQVCUDAImage.html#a4bc1fb37fa6c8afa95bb344c0a4ee283" title="Returns the step of the image.">getStep</a>();
<a name="l00066"></a>00066 
<a name="l00067"></a>00067 
<a name="l00068"></a>00068         <span class="keywordtype">float</span> h_Kernel[5];
<a name="l00069"></a>00069         <span class="keywordtype">float</span> kernelSum = 0.0f;
<a name="l00070"></a>00070         <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j=0;j&lt;5;j++) {
<a name="l00071"></a>00071                 h_Kernel[j] = (float)expf(-(<span class="keywordtype">double</span>)(j-2)*(j-2)/2.0/sigma/sigma);
<a name="l00072"></a>00072                 kernelSum += h_Kernel[j];
<a name="l00073"></a>00073         }
<a name="l00074"></a>00074         <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j=0;j&lt;5;j++)
<a name="l00075"></a>00075                 h_Kernel[j] /= kernelSum;
<a name="l00076"></a>00076 
<a name="l00077"></a>00077         ScaleDown_kernel(src.<a class="code" href="classQVCUDAImage.html#a34085acda5201bd164d4581ee882855d" title="Returns the pointer to the start of the device data for the image.">getData</a>(),dest.<a class="code" href="classQVCUDAImage.html#a34085acda5201bd164d4581ee882855d" title="Returns the pointer to the start of the device data for the image.">getData</a>(),h_Kernel,w,h,step_s,step_d);
<a name="l00078"></a>00078 
<a name="l00079"></a>00079         CUT_CHECK_ERROR(<span class="stringliteral">&quot;QVCUDAIP module: QVCUDAScaleDown() execution failed\n&quot;</span>);
<a name="l00080"></a>00080         CUDA_SAFE_CALL(cudaThreadSynchronize());
<a name="l00081"></a>00081 
<a name="l00082"></a>00082         <span class="keywordflow">return</span> TRUE;
<a name="l00083"></a>00083 
<a name="l00084"></a>00084 }
<a name="l00085"></a>00085 
<a name="l00086"></a>00086 
<a name="l00087"></a><a class="code" href="qvcudaip_8h.html#ac90306668622a81ff94896cb653eed1f">00087</a> <span class="keywordtype">bool</span> <a class="code" href="qvcudaip_8cpp.html#ac90306668622a81ff94896cb653eed1f" title="Applies a Gauss filter to ...">QVCUDAFilterGauss</a>(<span class="keyword">const</span> <a class="code" href="classQVCUDAImage.html" title="Class to manage images stored in the GPU for the QVision framework.">QVCUDAImage&lt;float,1&gt;</a> &amp;src, <a class="code" href="classQVCUDAImage.html" title="Class to manage images stored in the GPU for the QVision framework.">QVCUDAImage&lt;float,1&gt;</a> &amp;dest, <span class="keywordtype">int</span> kernelSize, <span class="keywordtype">float</span> sigma)
<a name="l00088"></a>00088 {
<a name="l00089"></a>00089         <span class="keywordtype">int</span> w = src.<a class="code" href="classQVCUDAImage.html#a85022bc8b3e21adee52f8f6f73eb9afb" title="Returns the number of cols of the image.">getCols</a>();
<a name="l00090"></a>00090         <span class="keywordtype">int</span> h = src.<a class="code" href="classQVCUDAImage.html#a6ffd1bbe764e1a77d06b68cee251071a" title="Returns the number of rows of the image.">getRows</a>();
<a name="l00091"></a>00091         <span class="keywordtype">int</span> step = src.<a class="code" href="classQVCUDAImage.html#a4bc1fb37fa6c8afa95bb344c0a4ee283" title="Returns the step of the image.">getStep</a>();
<a name="l00092"></a>00092 
<a name="l00093"></a>00093         dest.<a class="code" href="classQVCUDAImage.html#a0b2e7c0fa2ffd39717d81d3b09f3264c" title="Resizes a QVCUDAImage.">resize</a>(w,h);
<a name="l00094"></a>00094 
<a name="l00095"></a>00095         <span class="keywordflow">if</span> ( (src.<a class="code" href="classQVCUDAImage.html#a85022bc8b3e21adee52f8f6f73eb9afb" title="Returns the number of cols of the image.">getCols</a>() &lt; 1) or (src.<a class="code" href="classQVCUDAImage.html#a6ffd1bbe764e1a77d06b68cee251071a" title="Returns the number of rows of the image.">getRows</a>() &lt; 1) ) {
<a name="l00096"></a>00096                 std::cerr &lt;&lt; <span class="stringliteral">&quot;QVCUDAIP module: QVCUDAFilterGauss function: src image is not OK.\n&quot;</span>;
<a name="l00097"></a>00097                 <span class="keywordflow">return</span> FALSE;
<a name="l00098"></a>00098         }
<a name="l00099"></a>00099 
<a name="l00100"></a>00100         <span class="keywordtype">int</span> RADIUS = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(round(2.5*sigma));
<a name="l00101"></a>00101         std::cout &lt;&lt; <span class="stringliteral">&quot;USING RADIUS=&quot;</span> &lt;&lt; RADIUS &lt;&lt; <span class="stringliteral">&quot;.\n&quot;</span>;
<a name="l00102"></a>00102 
<a name="l00103"></a>00103         <span class="keywordflow">if</span>(2*RADIUS+1&gt;CUDA_MAX_MASK_SIZE) {
<a name="l00104"></a>00104                 std::cerr &lt;&lt; <span class="stringliteral">&quot;QVCUDAIP module: QVCUDAFilterGauss function: 2*RADIUS+1 exceeds CUDA_MAX_MASK_SIZE.\n&quot;</span>;
<a name="l00105"></a>00105                 <span class="keywordflow">return</span> FALSE;
<a name="l00106"></a>00106         }
<a name="l00107"></a>00107 
<a name="l00108"></a>00108         <a class="code" href="classQVCUDAImage.html" title="Class to manage images stored in the GPU for the QVision framework.">QVCUDAImage&lt;float,1&gt;</a> tempimg(w,h);
<a name="l00109"></a>00109         
<a name="l00110"></a>00110         <span class="comment">// We know here that dest and temp steps are the same (as forced by QVCUDAImage resize method).</span>
<a name="l00111"></a>00111 
<a name="l00112"></a>00112         <span class="keywordtype">float</span> h_Kernel[CUDA_MAX_MASK_SIZE];
<a name="l00113"></a>00113         <span class="keywordtype">float</span> kernelSum = 0.0f;
<a name="l00114"></a>00114         <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j=-RADIUS;j&lt;=RADIUS;j++) {
<a name="l00115"></a>00115                 h_Kernel[j+RADIUS] = (float)expf(-(<span class="keywordtype">double</span>)j*j/2.0/sigma/sigma);
<a name="l00116"></a>00116                 kernelSum += h_Kernel[j+RADIUS];
<a name="l00117"></a>00117         }
<a name="l00118"></a>00118         <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j=-RADIUS;j&lt;=RADIUS;j++)
<a name="l00119"></a>00119                 h_Kernel[j+RADIUS] /= kernelSum;
<a name="l00120"></a>00120 
<a name="l00121"></a>00121         SeparableFilter_kernel(src.<a class="code" href="classQVCUDAImage.html#a34085acda5201bd164d4581ee882855d" title="Returns the pointer to the start of the device data for the image.">getData</a>(),dest.<a class="code" href="classQVCUDAImage.html#a34085acda5201bd164d4581ee882855d" title="Returns the pointer to the start of the device data for the image.">getData</a>(),tempimg.<a class="code" href="classQVCUDAImage.html#a34085acda5201bd164d4581ee882855d" title="Returns the pointer to the start of the device data for the image.">getData</a>(),h_Kernel,RADIUS,w,h,step);
<a name="l00122"></a>00122 
<a name="l00123"></a>00123         CUT_CHECK_ERROR(<span class="stringliteral">&quot;QVCUDAIP module: QVCUDAFilterGauss() execution failed\n&quot;</span>);
<a name="l00124"></a>00124         CUDA_SAFE_CALL(cudaThreadSynchronize());
<a name="l00125"></a>00125 
<a name="l00126"></a>00126         <span class="keywordflow">return</span> TRUE;
<a name="l00127"></a>00127 
<a name="l00128"></a>00128 }
<a name="l00129"></a>00129 
<a name="l00130"></a><a class="code" href="qvcudaip_8h.html#ab59e13f0ba387c19ab90df841c2a5025">00130</a> <span class="keywordtype">bool</span> <a class="code" href="qvcudaip_8cpp.html#ab59e13f0ba387c19ab90df841c2a5025" title="To make CUDA tests...">QVCUDATest</a>(<span class="keyword">const</span> <a class="code" href="classQVCUDAImage.html" title="Class to manage images stored in the GPU for the QVision framework.">QVCUDAImage&lt;float,1&gt;</a> &amp;src, <a class="code" href="classQVCUDAImage.html" title="Class to manage images stored in the GPU for the QVision framework.">QVCUDAImage&lt;float,1&gt;</a> &amp;dest, <span class="keywordtype">int</span> radius, <span class="keywordtype">int</span> iters)
<a name="l00131"></a>00131 {
<a name="l00132"></a>00132         <span class="keywordtype">int</span> w = src.<a class="code" href="classQVCUDAImage.html#a85022bc8b3e21adee52f8f6f73eb9afb" title="Returns the number of cols of the image.">getCols</a>();
<a name="l00133"></a>00133         <span class="keywordtype">int</span> h = src.<a class="code" href="classQVCUDAImage.html#a6ffd1bbe764e1a77d06b68cee251071a" title="Returns the number of rows of the image.">getRows</a>();
<a name="l00134"></a>00134         <span class="keywordtype">int</span> step = src.<a class="code" href="classQVCUDAImage.html#a4bc1fb37fa6c8afa95bb344c0a4ee283" title="Returns the step of the image.">getStep</a>();
<a name="l00135"></a>00135 
<a name="l00136"></a>00136         dest.<a class="code" href="classQVCUDAImage.html#a0b2e7c0fa2ffd39717d81d3b09f3264c" title="Resizes a QVCUDAImage.">resize</a>(w,h);
<a name="l00137"></a>00137 
<a name="l00138"></a>00138         <span class="keywordflow">if</span> ( (src.<a class="code" href="classQVCUDAImage.html#a85022bc8b3e21adee52f8f6f73eb9afb" title="Returns the number of cols of the image.">getCols</a>() &lt; 1) or (src.<a class="code" href="classQVCUDAImage.html#a6ffd1bbe764e1a77d06b68cee251071a" title="Returns the number of rows of the image.">getRows</a>() &lt; 1) ) {
<a name="l00139"></a>00139                 std::cerr &lt;&lt; <span class="stringliteral">&quot;QVCUDAIP module: QVCUDATest function: src image is not OK.\n&quot;</span>;
<a name="l00140"></a>00140                 <span class="keywordflow">return</span> FALSE;
<a name="l00141"></a>00141         }
<a name="l00142"></a>00142 
<a name="l00143"></a>00143         Test_kernel(src.<a class="code" href="classQVCUDAImage.html#a34085acda5201bd164d4581ee882855d" title="Returns the pointer to the start of the device data for the image.">getData</a>(),dest.<a class="code" href="classQVCUDAImage.html#a34085acda5201bd164d4581ee882855d" title="Returns the pointer to the start of the device data for the image.">getData</a>(),radius,iters,w,h,step);
<a name="l00144"></a>00144 
<a name="l00145"></a>00145         CUT_CHECK_ERROR(<span class="stringliteral">&quot;QVCUDAIP module: QVCUDATest() execution failed\n&quot;</span>);
<a name="l00146"></a>00146         CUDA_SAFE_CALL(cudaThreadSynchronize());
<a name="l00147"></a>00147 
<a name="l00148"></a>00148         <span class="keywordflow">return</span> TRUE;
<a name="l00149"></a>00149 
<a name="l00150"></a>00150 
<a name="l00151"></a>00151 }
</pre></div></div>
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<center><a href="http://perception.inf.um.es/QVision">QVision framework</a>.
<a href="http://perception.inf.um.es">PARP research group</a>.
Copyright &copy; 2007, 2008, 2009, 2010, 2011.</center>
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